AI Answer Engine
Ask like chatting with an expert — AI searches the live web and returns structured, cited answers for research and decision-making
Calculator Interface
Interactive calculator will be available soon
Features
- ✓ Real-time web and database search with cited sources in every answer
- ✓ Multi-turn follow-up dialogue that breaks complex questions down
- ✓ Step-by-step reasoning distilled into verifiable conclusions
- ✓ One-click generation of cited comparison tables, reports and summaries
- ✓ Ask and answer in dozens of languages including English, Chinese and Japanese
How to Use
- Type what you want to know in natural language
- Choose answer depth and search scope, then ask
- Read the structured answer with cited sources and keep asking follow-ups
- Export the report or share results as research material
FAQ
What is an AI answer engine?
A tool that combines large language models with live web search. Input: a natural-language question. Output: a structured, source-cited answer with multi-turn follow-ups, ideal for research and decisions.
How is it different from a normal search engine?
Search engines return lists of links you must open and filter yourself. Answer engines synthesize information from multiple sources into a conclusion with citations, saving significant browsing time.
Are the answers always accurate?
Answers include citations for verification, but AI can still err or miss the latest information. For time-sensitive or high-stakes decisions, click the cited links to check primary sources.
What kinds of questions does it support?
Facts, comparisons, data lookups, code explanations, writing polish and academic research. Complex questions are auto-split into sub-questions answered step by step.
Is it free to use?
Most answer engines offer free basic web-search Q&A. Longer in-depth reports, higher usage limits and premium models are subscription features that vary by platform.
Are my questions saved?
You can usually turn off conversation history or use private mode. Some services use dialogues to improve models; manage your data preferences in settings.